You are reviewing a simulation model and find that the analyst who prepared the model used generate the waiting time at a restaurant (in seconds). Which of the following assumptions did the analyst make about the waiting time? I. The minimum waiting time is 100. II. The average (mean) waiting time is 100. II. The waiting time is normally distributed.
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- Suppose the waiting time at a certain checkout counter is bi-modal. With probability 0.85, the waiting time follows an exponential distribution with a mean waiting time of four minutes. With probability 0.15, the waiting time equals 20 minutes. a) Compute the mean and median waiting time at the checkout counter. b) Compute the variance of the waiting time at the checkout counter. c) Compute the probability that an individual customer waits longer than 5 minutes at the checkout counter.Proctoring Enabled: Chapter 12 Computer Simulati. O Save & Exit Submit Saved Help You have determined that waiting times at a toll booth are uniformly distributed over the interval 50 to 110 seconds. Your simulation generates the following random numbers. Complete the table with the waiting time associated with each random number. (Round your answers to the nearest whole number.) Random Number Waiting Time 0,64 0.87 0.57 Mc Graw Hill Next < Prev 5 of 5 ASUSIn waiting line management, system performance measures include which of the following: I. an arriving customer will have to wait. II. The average number of customers waiting. III. The average time customers spend in the system. IV The probability that the server is busy. Select one: a. II, III & IV b. I, II & III c. I, II & IV d. I, III & IV convert inputs into outputs; they are at the core of operations management. Select one: a. processes b. decisions C. resources d. products оооо
- A small town with one hospital has two ambulances to supply ambulance service. Requests forambulances during non-holiday weekends average .45 per hour and tend to be Poisson-distributed.Travel and assistance time averages two hours per call and follows an exponential distribution.Find:a. System utilizationb. The average number of customers waitingc. The average time customers wait for an ambulanced. The probability that both ambulances will be busy when a call comes in1. A single cashier handles customers that arrive at a bakery. About 34.8 customers come into the bakery per hour. It takes 73 seconds to serve each customer (standard time). 2. What is the utilization of the cashier?What is the probability there are no customers in line or at the cashier? 3. What is the probability there are less than 2 customers waiting? Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.Customer interarrival times at a store are exponentially distributed with rate 8 customers per hour. Customers are served by a single customer service representative (CSR), at a rate of 10 customers per hour. Service times are also exponentially distributed. Which of the following statements are true? O The probability of having exactly three customers in the store is 0.128. O None of the answers are correct. The store has customers waiting for a CSR 80.0% of the time. The average number of customers in the store is 3.2. O The average wait time for the CSR is 24 minutes.
- Proctoring Enabled: Chapter 12 Computer Simulation: Bas. Saved Help Save & Exit 2 You have determined that waiting times at a toll booth are uniformly distributed over the interval 30 to 80 seconds. Your simulation generates the following random numbers. Complete the table with the waiting time associated with each random number. (Round your answers to the nearest whole number.) Random Number Waiting Time 0.49 0.23 0.74You have determined that waiting times at a toll booth are uniformly distributed over the interval 30 to 80 seconds. Your simulation generates the following random numbers. Complete the table with the waiting time associated with each random number. (Round your answers to the nearest whole number.) Random Number Waiting Time 0.49 0.23 0.74 3.10. Two operators handle adjustments for a group of 10 machines. Adjustment time is exponentiallydistributed and has a mean of 14 minutes per machine. The machines operate for an average of86 minutes between adjustments. While running, each machine can turn out 50 pieces per hour.Find the following:a. The probability that a machine will have to wait for an adjustmentb. The average number of machines waiting for adjustmentc. The average number of machines being servicedd. The expected hourly output of each machine, taking adjustments into accounte. Machine downtime represents a cost of $70 per hour; operator cost (including salary andfringe benefits) is $15 per hour. What is the optimum number of operators?
- Given the following Operating Characteristics from a queuing model with time units specified in hours, answer the five questions: Po = 0.4000 Lq = 0.9000 L = 1.5000 Wq = 0.2000 W = 0.3000 Pw = 0.6000 What is the average time, in minutes, a customer waits in line before being served? What is the average time, in minutes, a customer spends waiting and being served? What is the average number of customers in the system? What is the probability that there are no customers in the system? If the system serves a customer every 4 minutes, what is the service rate?* 08 HI FL R %S4 LLI %#3 50 For the first two hours of the day, the arrival rate at the donut shop is 10 customers per hour. The donut shop is capable of serving 8 customers per hour. Assume that the system is empty at the start and that no customer who arrives leaves without being served. (Round your answer to 2 decimal places.) What is the average wait time for customers during this time period (in hours)? unoy nces Mc Graw Wellington Paranormal Stars and Pahkitew Island RESTAURANT Restaurant: Scissor Seven My 600-lb Life The Afterparty Pam & Tommy As We See It 8,425 MAR étv A 644 DD F7 F12 F8 F10 F3 F 4 F5 93 %23 5 delet 9 7. 2. } P. 1 B. W N alt 38 command MOSISO commandIn an M/M/1 queueing system, the arrival rate is 5 customers per hour and the service rate is 7 customers per hour. If the service process is automated (resulting in no variation in service times but the same service rate), what will be the resulting performance measurements? What is the utilization? What is the expected number of customers in the system (L)? What is the expected waiting time (in hours) for the system (W)? What is the expected number of customers in the queue (Lq)? What is the expected waiting time (in hours) in the queue (Wq)?